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Andronescu LR, Richard SA, Scher AI, Lindholm DA, Mende K, Ganesan A, Huprikar N, Lalani T, Smith A, Mody RM, Jones MU, Bazan SE, Colombo RE, Colombo CJ, Ewers E, Larson DT, Maves RC, Berjohn CM, Maldonado CJ, English C, Sanchez Edwards M, Rozman JS, Rusiecki J, Byrne C, Simons MP, Tribble D, Burgess TH, Pollett SD, Agan BK. SARS-CoV-2 infection is associated with self-reported post-acute neuropsychological symptoms within six months of follow-up. PLoS One 2024; 19:e0297481. [PMID: 38626117 PMCID: PMC11020833 DOI: 10.1371/journal.pone.0297481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/02/2024] [Indexed: 04/18/2024] Open
Abstract
BACKGROUND Chronic neuropsychological sequelae following SARS-CoV-2 infection, including depression, anxiety, fatigue, and general cognitive difficulties, are a major public health concern. Given the potential impact of long-term neuropsychological impairment, it is important to characterize the frequency and predictors of this post-infection phenotype. METHODS The Epidemiology, Immunology, and Clinical Characteristics of Emerging Infectious Diseases with Pandemic Potential (EPICC) study is a longitudinal study assessing the impact of SARS-CoV-2 infection in U.S. Military Healthcare System (MHS) beneficiaries, i.e. those eligible for care in the MHS including active duty servicemembers, dependents, and retirees. Four broad areas of neuropsychological symptoms were assessed cross-sectionally among subjects 1-6 months post-infection/enrollment, including: depression (Patient Health Questionnaire-9), anxiety (General Anxiety Disorder-7), fatigue (PROMIS® Fatigue 7a), and cognitive function (PROMIS® Cognitive Function 8a and PROMIS® Cognitive Function abilities 8a). Multivariable Poisson regression models compared participants with and without SARS-CoV-2 infection history on these measures, adjusting for sex, ethnicity, active-duty status, age, and months post-first positive or enrollment of questionnaire completion (MPFP/E); models for fatigue and cognitive function were also adjusted for depression and anxiety scores. RESULTS The study population included 2383 participants who completed all five instruments within six MPFP/E, of whom 687 (28.8%) had at least one positive SARS-CoV-2 test. Compared to those who had never tested positive for SARS-CoV-2, the positive group was more likely to meet instrument-based criteria for depression (15.4% vs 10.3%, p<0.001), fatigue (20.1% vs 8.0%, p<0.001), impaired cognitive function (15.7% vs 8.6%, p<0.001), and impaired cognitive function abilities (24.3% vs 16.3%, p<0.001). In multivariable models, SARS-CoV-2 positive participants, assessed at an average of 2.7 months after infection, had increased risk of moderate to severe depression (RR: 1.44, 95% CI 1.12-1.84), fatigue (RR: 2.07, 95% CI 1.62-2.65), impaired cognitive function (RR: 1.64, 95% CI 1.27-2.11), and impaired cognitive function abilities (RR: 1.41, 95% CI 1.15-1.71); MPFP/E was not significant. CONCLUSIONS Participants with a history of SARS-CoV-2 infection were up to twice as likely to report cognitive impairment and fatigue as the group without prior SARS-CoV-2 infection. These findings underscore the continued importance of preventing SARS-CoV-2 infection and while time since infection/enrollment was not significant through 6 months of follow-up, this highlights the need for additional research into the long-term impacts of COVID-19 to mitigate and reverse these neuropsychological outcomes.
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Affiliation(s)
- Liana R. Andronescu
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
| | - Stephanie A. Richard
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
| | - Ann I. Scher
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
| | - David A. Lindholm
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Brooke Army Medical Center, San Antonio, TX, United States of America
| | - Katrin Mende
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
- Brooke Army Medical Center, San Antonio, TX, United States of America
| | - Anuradha Ganesan
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
- Walter Reed National Military Medical Center, Bethesda, MD, United States of America
| | - Nikhil Huprikar
- Walter Reed National Military Medical Center, Bethesda, MD, United States of America
| | - Tahaniyat Lalani
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
- Naval Medical Center Portsmouth, Portsmouth, VA, United States of America
| | - Alfred Smith
- Naval Medical Center Portsmouth, Portsmouth, VA, United States of America
| | - Rupal M. Mody
- William Beaumont Army Medical Center, El Paso, TX, United States of America
| | - Milissa U. Jones
- Tripler Army Medical Center, Honolulu, HI, United States of America
| | - Samantha E. Bazan
- Carl R. Darnall Army Medical Center, Fort Hood, TX, United States of America
| | - Rhonda E. Colombo
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Madigan Army Medical Center, Tacoma, WA, United States of America
| | - Christopher J. Colombo
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Madigan Army Medical Center, Tacoma, WA, United States of America
| | - Evan Ewers
- Fort Belvoir Community Hospital, Fort Belvoir, VA, United States of America
| | - Derek T. Larson
- Fort Belvoir Community Hospital, Fort Belvoir, VA, United States of America
- Naval Medical Center San Diego, San Diego, CA, United States of America
| | - Ryan C. Maves
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Naval Medical Center San Diego, San Diego, CA, United States of America
| | - Catherine M. Berjohn
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Naval Medical Center San Diego, San Diego, CA, United States of America
| | | | - Caroline English
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
| | - Margaret Sanchez Edwards
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
| | - Julia S. Rozman
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
| | - Jennifer Rusiecki
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
| | - Celia Byrne
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
| | - Mark P. Simons
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
| | - David Tribble
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
| | - Timothy H. Burgess
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
| | - Simon D. Pollett
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
| | - Brian K. Agan
- Department of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States of America
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Rockwell EM, Abernathy HA, Evans LM, Bhowmik R, Giandomenico DA, Salzer JS, Maldonado CJ, Choi YS, Boyce RM. Changes in the Seroprevalence of Tick-Borne Rickettsia and Ehrlichia Among Soldiers-Fort Liberty, North Carolina, 1991-2019. J Infect Dis 2024:jiae028. [PMID: 38330207 DOI: 10.1093/infdis/jiae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
We obtained samples from the Department of Defense Serum Repository from soldiers who were stationed at Fort Liberty, North Carolina, between 1991 and 2019 to assess temporal trends in tick-borne rickettsiosis and ehrlichiosis. Serological evidence of infection was common, with nearly 1 in 5 (18.9%) demonstrating antibodies. We observed significant decreases in Rickettsia seroprevalence (adjusted odds ratio [aOR], 0.42 [95% CI, .27-.65], P = .0001) while over the same period Ehrlichia seroprevalence, albeit less common, nearly doubled (aOR, 3.61 [95% CI, 1.10-13.99], P = .048). The increase in Ehrlichia seroprevalence likely reflects increased transmission resulting from the expanding geographic range of the lone star tick.
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Affiliation(s)
| | | | - Lanya M Evans
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill
| | - Ryan Bhowmik
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill
| | - Dana A Giandomenico
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill
| | - Johanna S Salzer
- Rickettsial Zoonoses Branch, Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Carlos J Maldonado
- Department of Research/Clinical Investigation, Womack Army Medical Center, Fort Liberty
| | - Y Sammy Choi
- Department of Research/Clinical Investigation, Womack Army Medical Center, Fort Liberty
| | - Ross M Boyce
- Department of Epidemiology, Gillings School of Global Public Health
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill
- Carolina Population Center, University of North Carolina at Chapel Hill
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Richard SA, Scher AI, Rusiecki J, Byrne C, Berjohn CM, Fries AC, Lalani T, Smith AG, Mody RM, Ganesan A, Huprikar N, Colombo RE, Colombo CJ, Schofield C, Lindholm DA, Mende K, Morris MJ, Jones MU, Flanagan R, Larson DT, Ewers EC, Bazan SE, Saunders D, Maves RC, Livezey J, Maldonado CJ, Edwards MS, Rozman JS, O’Connell RJ, Simons MP, Tribble DR, Agan BK, Burgess TH, Pollett SD. Decreased Self-reported Physical Fitness Following SARS-CoV-2 Infection and the Impact of Vaccine Boosters in a Cohort Study. Open Forum Infect Dis 2023; 10:ofad579. [PMID: 38130596 PMCID: PMC10733205 DOI: 10.1093/ofid/ofad579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 11/15/2023] [Indexed: 12/23/2023] Open
Abstract
Background The long-term effects of coronavirus disease 2019 (COVID-19) on physical fitness are unclear, and the impact of vaccination on that relationship is uncertain. Methods We compared survey responses in a 1-year study of US military service members with (n = 1923) and without (n = 1591) a history of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We fit Poisson regression models to estimate the association between history of SARS-CoV-2 infection and fitness impairment, adjusting for time since infection, demographics, and baseline health. Results The participants in this analysis were primarily young adults aged 18-39 years (75%), and 71.5% were male. Participants with a history of SARS-CoV-2 infection were more likely to report difficulty exercising (38.7% vs 18.4%; P < .01), difficulty performing daily activities (30.4% vs 12.7%; P < .01), and decreased fitness test (FT) scores (42.7% vs 26.2%; P < .01) than those without a history of infection. SARS-CoV-2-infected participants were at higher risk of these outcomes after adjusting for other factors (unvaccinated: exercising: adjusted risk ratio [aRR], 3.99; 95% CI, 3.36-4.73; activities: aRR, 5.02; 95% CI, 4.09-6.16; FT affected: aRR, 2.55; 95% CI, 2.19-2.98). Among SARS-CoV-2-positive participants, full vaccination before infection was associated with a lower risk of post-COVID-19 fitness impairment (fully vaccinated: exercise: aRR, 0.81; 95% CI, 0.70-0.95; activities: aRR, 0.76; 95% CI, 0.64-0.91; FT: aRR, 0.87; 95% CI, 0.76-1.00; boosted: exercise: aRR, 0.62; 95% CI, 0.51-0.74; activities: aRR, 0.52; 95% CI, 0.41-0.65; FT: aRR, 0.59; 95% CI, 0.49-0.70). Conclusions In this study of generally young, healthy military service members, SARS-CoV-2 infection was associated with lower self-reported fitness and exercise capacity; vaccination and boosting were associated with lower risk of self-reported fitness loss.
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Affiliation(s)
- Stephanie A Richard
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Ann I Scher
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Jennifer Rusiecki
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Celia Byrne
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Catherine M Berjohn
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Naval Medical Center San Diego, San Diego, California, USA
| | - Anthony C Fries
- US Air Force School of Aerospace Medicine, Wright-Patterson, Ohio, USA
| | - Tahaniyat Lalani
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Naval Medical Center Portsmouth, Portsmouth, Virginia, USA
| | - Alfred G Smith
- Naval Medical Center Portsmouth, Portsmouth, Virginia, USA
| | - Rupal M Mody
- William Beaumont Army Medical Center, El Paso, Texas, USA
| | - Anuradha Ganesan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Nikhil Huprikar
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Rhonda E Colombo
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Madigan Army Medical Center, Joint Base Lewis McChord, Washington, USA
| | - Christopher J Colombo
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Madigan Army Medical Center, Joint Base Lewis McChord, Washington, USA
| | | | - David A Lindholm
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Brooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, Texas, USA
| | - Katrin Mende
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
- Brooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, Texas, USA
| | - Michael J Morris
- Brooke Army Medical Center, Joint Base San Antonio-Fort Sam Houston, Texas, USA
| | - Milissa U Jones
- Department of Pediatrics, Translational Medicine Unit, Uniformed Services University, Bethesda, Maryland, USA
| | - Ryan Flanagan
- Department of Pediatrics, Translational Medicine Unit, Uniformed Services University, Bethesda, Maryland, USA
| | - Derek T Larson
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Naval Medical Center San Diego, San Diego, California, USA
- Alexander T. Augusta Military Medical Center, Fort Belvoir, Virginia, USA
| | - Evan C Ewers
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Alexander T. Augusta Military Medical Center, Fort Belvoir, Virginia, USA
| | | | - David Saunders
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Ryan C Maves
- Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Jeffrey Livezey
- Department of Pediatrics, Clinical Pharmacology and Medical Toxicology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | | | - Margaret Sanchez Edwards
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Julia S Rozman
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Robert J O’Connell
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Mark P Simons
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - David R Tribble
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Brian K Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Timothy H Burgess
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Simon D Pollett
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
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Maldonado CJ, White-Phillip JA, Liu Y, Choi YS. Exposomic Signatures of Cervical Pain. Mil Med 2023; 188:116-123. [PMID: 37948218 DOI: 10.1093/milmed/usad054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/24/2023] [Accepted: 02/09/2023] [Indexed: 11/12/2023] Open
Abstract
INTRODUCTION We evaluated risk factors associated with cervical pain (CP) among officers and enlisted members of the U.S. Army and Marine Aviation community using an exposomic approach. Specifically, we aimed to determine the factors associated with reported CP. MATERIALS AND METHODS This is a retrospective cohort study that utilized the Medical Assessment and Readiness System housed at Womack Army Medical Center to evaluate the longitudinal data taken from medical and workforce resources. This study included 77,864 active duty AMAC members during October 2015-December 2019. Multivariable mixed-effects logistic regression was used to assess the relationship between the independent variables of rank, service time, deployment, Armed Forces Qualification Test score, tobacco use, alcohol use, age, gender, race, ethnicity, body mass index, marital status, and education level and the dependent variable, incidence occurrence of CP. RESULTS The total analysis included 77,864 individuals with 218,180 person-years of observations. The incidence rate of CP was 18.8 per 100 person-years, with a 12% period prevalence. Cervical pain was independently associated with rank, service time, Armed Forces Qualification Test score, and alcohol use (all P < .05). CONCLUSIONS Our longitudinal exposomic signatures-based approach aims to complement the outcomes of data science and analytics from Medical Assessment and Readiness System with validations of objective biochemical indicator species observed in Army and Marine Aviation community members suffering from CP. This initial approach using parallel track complementarity has the potential of substantiating the underlying mechanisms foundational to design prospective personalized algorithms that can be used as a predictive model. Finally, a specific evaluation of occupational risk factors may provide insight into factors not readily ascertained from the civilian literature.
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Affiliation(s)
- Carlos J Maldonado
- Department of Clinical Investigation, Womack Army Medical Center, Fort Bragg, NC 28310, USA
| | | | - Yuliang Liu
- Department of Veterans Affairs, Veterans Administration Central Office, Washington, DC 20420, USA
| | - Y Sammy Choi
- Department of Clinical Investigation, Womack Army Medical Center, Fort Bragg, NC 28310, USA
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Maldonado CJ, White-Phillip JA, Liu Y, Erbele ID, Choi YS. Exposomic Signatures of Tinnitus and/or Hearing Loss. Mil Med 2023; 188:102-109. [PMID: 37948208 DOI: 10.1093/milmed/usad046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/24/2023] [Accepted: 02/08/2023] [Indexed: 11/12/2023] Open
Abstract
INTRODUCTION We evaluated the risk factors associated with tinnitus and/or hearing loss (THL) among active duty (AD) members of the U.S. Army and Marine Aviation Community (AMAC) using an exposomic approach. Specifically, we aimed to determine the factors associated with the reported THL in the Military Health System. METHODS Longitudinal data were obtained from the Medical Assessment and Readiness System housed at Womack Army Medical Center, Fort Bragg, NC, for a retrospective cohort study that included 78,546 AD AMAC members from October 2015 to December 2019. Multivariable mixed-effects logistic regression was used to assess the relationship between THL and numerous variables to include rank, service time, deployment, tobacco use, alcohol use, age, gender, race, ethnicity, and body mass index. RESULTS Our analysis included a total of 220,044 person-years of observations. The THL incidence rate was 6.7 per 100 person-years, with an 8.1% period prevalence. THL was associated with age, gender, body mass index, race, deployment, service time, marital status, and tobacco use (all P < .05). Service time greater than 16 years had the greatest odds ratio of THL (4.46, 95% CI: 3.58-5.55, P < .001). CONCLUSIONS Our assessment shows the utility of using an exposomic approach to create member-specific personalized clinical algorithms for health outcomes. We examined individuals with THL diagnoses and identified a combination of risk factors from biomedical, lifestyle, environmental, and stochastic sources. Taken together, the risk factors identified across the four exposomic domains could help understand the etiology of THL. Our exposomic methodology could be the foundation for generating predictive models. Finally, a specific evaluation of occupational risk factors may provide insight into aspects not readily available from civilian literature. In upcoming years, as the Medical Assessment and Readiness System matures, we will expand our analyses to include prospective, untargeted metabolites and biomarker data.
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Affiliation(s)
- Carlos J Maldonado
- Department of Clinical Investigation, Womack Army Medical Center, Fort Bragg, NC 28310, USA
| | | | - Yuliang Liu
- Department of Veterans Affairs, Veterans Administration Central Office, Washington, DC 20420, USA
| | - Isaac D Erbele
- Department of Otolaryngology, Brooke Army Medical Center, JBSA Fort Sam Houston, TX 78234, USA
| | - Y Sammy Choi
- Department of Clinical Investigation, Womack Army Medical Center, Fort Bragg, NC 28310, USA
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Scher AI, Berjohn CM, Byrne C, Colombo RE, Colombo CJ, Sanchez Edwards M, Ewers EC, Ganesan A, Jones M, Larson DT, Libraty D, Lindholm DA, Madar CS, Maldonado CJ, Maves RC, Mende K, Richard SA, Rozman JS, Rusiecki J, Smith A, Simons M, Tribble D, Agan B, Burgess TH, Pollett SD. An Analysis of SARS-CoV-2 Vaccine Reactogenicity: Variation by Type, Dose, and History, Severity, and Recency of Prior SARS-CoV-2 Infection. Open Forum Infect Dis 2022; 9:ofac314. [PMID: 35899278 PMCID: PMC9278193 DOI: 10.1093/ofid/ofac314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/24/2022] [Indexed: 11/28/2022] Open
Abstract
Background There is limited information on the functional consequences of coronavirus disease 2019 (COVID-19) vaccine side effects. To support patient counseling and public health messaging, we describe the risk and correlates of COVID-19 vaccine side effects sufficient to prevent work or usual activities and/or lead to medical care (“severe” side effects). Methods The EPICC study is a longitudinal cohort study of Military Healthcare System beneficiaries including active duty service members, dependents, and retirees. We studied 2789 adults who were vaccinated between December 2020 and December 2021. Results Severe side effects were most common with the Ad26.COV2.S (Janssen/Johnson and Johnson) vaccine, followed by mRNA-1273 (Moderna) then BNT162b2 (Pfizer/BioNTech). Severe side effects were more common after the second than first dose (11% vs 4%; P < .001). First (but not second) dose side effects were more common in those with vs without prior severe acute respiratory syndrome coronavirus 2 infection (9% vs 2%; adjusted odds ratio [aOR], 5.84; 95% CI, 3.8–9.1), particularly if the prior illness was severe or critical (13% vs 2%; aOR, 10.57; 95% CI, 5.5–20.1) or resulted in inpatient care (17% vs 2%; aOR, 19.3; 95% CI, 5.1–72.5). Side effects were more common in women than men but not otherwise related to demographic factors. Conclusions Vaccine side effects sufficient to prevent usual activities were more common after the second than first dose and varied by vaccine type. First dose side effects were more likely in those with a history of COVID-19—particularly if that prior illness was severe or associated with inpatient care. These findings may assist clinicians and patients by providing a real-world evaluation of the likelihood of experiencing impactful postvaccine symptoms.
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Affiliation(s)
- Ann I Scher
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - Catherine M Berjohn
- Naval Medical Center San Diego , San Diego, CA , USA
- Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - Celia Byrne
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - Rhonda E Colombo
- Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
- Madigan Army Medical Center , Joint Base Lewis McChord, WA , USA
| | - Christopher J Colombo
- Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Madigan Army Medical Center , Joint Base Lewis McChord, WA , USA
| | - Margaret Sanchez Edwards
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
| | - Evan C Ewers
- Fort Belvoir Community Hospital , Fort Belvoir, VA , USA
| | - Anuradha Ganesan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
- Walter Reed National Military Medical Center , Bethesda, MD , USA
| | | | - Derek T Larson
- Naval Medical Center San Diego , San Diego, CA , USA
- Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Fort Belvoir Community Hospital , Fort Belvoir, VA , USA
| | - Daniel Libraty
- Naval Medical Center San Diego , San Diego, CA , USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
| | - David A Lindholm
- Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Brooke Army Medical Center , JBSA Ft Sam Houston, TX , USA
| | - Cristian S Madar
- Walter Reed National Military Medical Center , Bethesda, MD , USA
| | | | - Ryan C Maves
- Naval Medical Center San Diego , San Diego, CA , USA
- Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - Katrin Mende
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
- Brooke Army Medical Center , JBSA Ft Sam Houston, TX , USA
| | - Stephanie A Richard
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
| | - Julia S Rozman
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
| | - Jennifer Rusiecki
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - Alfred Smith
- Naval Medical Center Portsmouth , Portsmouth, VA , USA
| | - Mark Simons
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - David Tribble
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - Brian Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
| | - Timothy H Burgess
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
| | - Simon D Pollett
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc ., Bethesda, MD , USA
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Richard SA, Epsi NJ, Lindholm DA, Malloy AMW, Maves RC, Berjohn CM, Lalani T, Smith AG, Mody RM, Ganesan A, Huprikar N, Colombo RE, Colombo CJ, Madar C, Jones MU, Larson DT, Ewers EC, Bazan S, Fries AC, Maldonado CJ, Simons MP, Rozman JS, Andronescu L, Mende K, Tribble DR, Agan BK, Burgess TH, Pollett SD, Powers JH. COVID-19 patient reported symptoms using FLU-PRO Plus in a cohort study: associations with infecting genotype, vaccine history, and return-to-health. Open Forum Infect Dis 2022; 9:ofac275. [PMID: 35873301 PMCID: PMC9214183 DOI: 10.1093/ofid/ofac275] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 05/26/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Patient reported outcomes of SARS-CoV-2 infection are an important measure of the full burden of COVID. Here, we examine how 1) infecting genotype and COVID-19 vaccination correlate with FLU-PRO Plus score, including by symptom domains, and 2) FLU-PRO Plus scores predict return to usual activities and health.
Methods
The EPICC study was implemented to describe the short- and long-term consequences of SARS-CoV-2 infection in a longitudinal, observational cohort. Multivariable linear regression models were run with FLU-PRO Plus scores as the outcome variable and multivariable Cox proportional hazards models evaluated effects of FLU-PRO Plus scores on return to usual health or activities.
Results
Among the 764 participants included in this analysis, 63% were 18-44 years old, 40% were female, and 51% were white. Being fully vaccinated was associated with lower total scores (β=-0.39 (95% confidence interval (CI) -0.57, -0.21)). The Delta variant was associated with higher total scores (β=0.25 (95% CI 0.05, 0.45)). Participants with higher FLU-PRO Plus scores were less likely to report returning to usual health and activities (Health: hazard ratio (HR) 0.46 (95% CI 0.37, 0.57); Activities: HR 0.56 (95% CI 0.47, 0.67)). Fully vaccinated participants were more likely to report returning to usual activities (HR 1.24 (95% CI 1.04, 1.48)).
Conclusions
Full SARS-CoV-2 vaccination is associated with decreased severity of patient-reported symptoms across multiple domains, which in turn is likely to be associated with earlier return to usual activities. In addition, infection with the Delta variant was associated with higher FLU-PRO Plus scores than previous variants, even after controlling for vaccination status.
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Affiliation(s)
- Stephanie A. Richard
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
| | - Nusrat J. Epsi
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
| | - David A. Lindholm
- Brooke Army Medical Center , Fort Sam Houston, TX, USA
- Uniformed Services University of the Health Sciences , Bethesda, MD, USA
| | | | - Ryan C. Maves
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- Naval Medical Center San Diego , San Diego, CA, USA
| | - Catherine M. Berjohn
- Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- Naval Medical Center San Diego , San Diego, CA, USA
| | - Tahaniyat Lalani
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
- Naval Medical Center Portsmouth , Portsmouth, VA, USA
| | | | - Rupal M. Mody
- William Beaumont Army Medical Center , El Paso, TX, USA
| | - Anuradha Ganesan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
- Walter Reed National Military Medical Center , Bethesda, MD, USA
| | - Nikhil Huprikar
- Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- Walter Reed National Military Medical Center , Bethesda, MD, USA
| | - Rhonda E. Colombo
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
- Madigan Army Medical Center , Joint Base Lewis McChord, WA, USA
| | - Christopher J. Colombo
- Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- Madigan Army Medical Center , Joint Base Lewis McChord, WA, USA
| | | | - Milissa U. Jones
- Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- Tripler Army Medical Center , Honolulu, HI, USA
| | - Derek T. Larson
- Naval Medical Center San Diego , San Diego, CA, USA
- Fort Belvoir Community Hospital , Fort Belvoir, VA, USA
| | - Evan C. Ewers
- Fort Belvoir Community Hospital , Fort Belvoir, VA, USA
| | - Samantha Bazan
- Carl R. Darnall Army Medical Center , Fort Hood, TX, USA
| | | | | | - Mark P. Simons
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
| | - Julia S. Rozman
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
| | - Liana Andronescu
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
| | - Katrin Mende
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
- Brooke Army Medical Center , Fort Sam Houston, TX, USA
| | - David R. Tribble
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
| | - Brian K. Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
| | - Timothy H. Burgess
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
| | - Simon D. Pollett
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences , Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, USA
| | - John H Powers
- Clinical Research Directorate, Frederick National Laboratory for Cancer Research , Frederick, MD, USA
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Epsi NJ, Richard SA, Lindholm DA, Mende K, Ganesan A, Huprikar N, Lalani T, Fries AC, Maves RC, Colombo RE, Larson DT, Smith A, Chi SW, Maldonado CJ, Ewers EC, Jones MU, Berjohn CM, Libraty DH, Edwards MS, English C, Rozman JS, Mody RM, Colombo CJ, Samuels EC, Nwachukwu P, Tso MS, Scher AI, Byrne C, Rusiecki J, Simons MP, Tribble D, Broder CC, Agan BK, Burgess TH, Laing ED, Pollett SD. Understanding "Hybrid Immunity": Comparison and Predictors of Humoral Immune Responses to Severe Acute Respiratory Syndrome Coronavirus 2 Infection (SARS-CoV-2) and Coronavirus Disease 2019 (COVID-19) Vaccines. Clin Infect Dis 2022; 76:e439-e449. [PMID: 35608504 PMCID: PMC9213853 DOI: 10.1093/cid/ciac392] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 04/29/2022] [Accepted: 05/17/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Comparison of humoral responses in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccinees, those with SARS-CoV-2 infection, or combinations of vaccine/ infection ("hybrid immunity") may clarify predictors of vaccine immunogenicity. METHODS We studied 2660 US Military Health System beneficiaries with a history of SARS-CoV-2 infection-alone (n = 705), vaccination-alone (n = 932), vaccine-after-infection (n = 869), and vaccine-breakthrough-infection (n = 154). Peak anti-spike-immunoglobulin G (IgG) responses through 183 days were compared, with adjustment for vaccine product, demography, and comorbidities. We excluded those with evidence of clinical or subclinical SARS-CoV-2 reinfection from all groups. RESULTS Multivariable regression results indicated that vaccine-after-infection anti-spike-IgG responses were higher than infection-alone (P < .01), regardless of prior infection severity. An increased time between infection and vaccination was associated with greater post-vaccination IgG response (P < .01). Vaccination-alone elicited a greater IgG response but more rapid waning of IgG (P < .01) compared with infection-alone (P < .01). BNT162b2 and mRNA-1273 vaccine-receipt was associated with greater IgG responses compared with JNJ-78436735 vaccine-receipt (P < .01), regardless of infection history. Those with vaccine-after-infection or vaccine-breakthrough-infection had a more durable anti-spike-IgG response compared to infection-alone (P < .01). CONCLUSIONS Vaccine-receipt elicited higher anti-spike-IgG responses than infection-alone, although IgG levels waned faster in those vaccinated (compared to infection-alone). Vaccine-after-infection elicits a greater humoral response compared with vaccine or infection alone; and the timing, but not disease severity, of prior infection predicted these post-vaccination IgG responses. While differences between groups were small in magnitude, these results offer insights into vaccine immunogenicity variations that may help inform vaccination timing strategies.
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Affiliation(s)
- Nusrat J Epsi
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA
| | - Stephanie A Richard
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA
| | - David A Lindholm
- Brooke Army Medical Center, Fort Sam Houston, Texas, USA,Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Katrin Mende
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA,Brooke Army Medical Center, Fort Sam Houston, Texas, USA
| | - Anuradha Ganesan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA,Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Nikhil Huprikar
- Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Tahaniyat Lalani
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA,Naval Medical Center Portsmouth, Portsmouth, Virginia, USA
| | - Anthony C Fries
- US Air Force School of Aerospace Medicine, Dayton, Ohio, USA
| | - Ryan C Maves
- Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Rhonda E Colombo
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA,Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Madigan Army Medical Center, Joint Base Lewis McChord, Washington, USA
| | - Derek T Larson
- Fort Belvoir Community Hospital, Fort Belvoir, Virginia, USA,Naval Medical Center San Diego, San Diego, California, USA
| | - Alfred Smith
- Naval Medical Center Portsmouth, Portsmouth, Virginia, USA
| | - Sharon W Chi
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA,Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | | | - Evan C Ewers
- Fort Belvoir Community Hospital, Fort Belvoir, Virginia, USA
| | | | - Catherine M Berjohn
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Naval Medical Center San Diego, San Diego, California, USA
| | - Daniel H Libraty
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA,Naval Medical Center San Diego, San Diego, California, USA
| | - Margaret Sanchez Edwards
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA
| | - Caroline English
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA
| | - Julia S Rozman
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA
| | - Rupal M Mody
- William Beaumont Army Medical Center, El Paso, Texas, USA
| | - Christopher J Colombo
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Madigan Army Medical Center, Joint Base Lewis McChord, Washington, USA
| | - Emily C Samuels
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Princess Nwachukwu
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Marana S Tso
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Ann I Scher
- Department of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Celia Byrne
- Department of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Jennifer Rusiecki
- Department of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Mark P Simons
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - David Tribble
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Christopher C Broder
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Brian K Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA
| | - Timothy H Burgess
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Eric D Laing
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Simon D Pollett
- Correspondence: Simon Pollett, MBBS, 6720A Rockledge Drive, Suite 250, Bethesda, MD 20817, USA ()
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Wolever RQ, Yang Q, Maldonado CJ, Armitage NH, Musty MD, Kraus WE, Chang J, Ginsburg GS, Vorderstrasse AA. Health coaching and genetic risk testing in primary care: Randomized controlled trial. Psychol Health 2022; 41:719-732. [PMID: 35587890 DOI: 10.1037/hea0001183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Accessible interventions are needed to prevent coronary heart disease (CHD) and Type 2 diabetes (T2D). This prospective, randomized, controlled trial evaluated remote health coaching (HC), genetic risk testing (GRT), or both added to standardized risk assessment (SRA) in at-risk military primary care patients. METHOD Using a 2 × 2 factorial longitudinal design, 200 Air Force at-risk participants provided primary outcomes at baseline, 3-, 6- (HC endpoint), and 12-months. Secondary measures were taken less often. Per protocol analyses used linear models and logistic regression; intent-to-treat (ITT) analyses used mixed models. RESULTS Compared with those not receiving HC, the HC group was 3.6 times more likely to report moderate to intense physical activity at 6-months (p = .0009), and 2.9 times more likely to report such at 12-months (p = .0065). ITT longitudinal model did not reach significance (p = .0885). The HC group reported lower emotional representations of illness at 6-weeks and lower depression at 6 months. There were no other significant findings. HC and GRT interacted; higher T2D risk participants receiving HC were 4.7 times more likely to report higher stage of change for exercise at 6-months, and lost 2.2 kg more by 12-months. Lower T2D risk participants receiving HC perceived greater control over CHD risk at 6-weeks, and averaged lower 6-month depression. CONCLUSIONS Remote HC after SRA increased physical activity, which was sustained 6-months later. Incorporating GRT into SRA warrants further exploration regarding the potential to leverage HC for weight loss in elevated T2D risk participants, and for depression in lower T2D risk participants. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Tang S, Bhatia B, Zhou J, Maldonado CJ, Chandra D, Kim E, Fischer SM, Butler AP, Friedman SL, Tang DG. Evidence that Sp1 positively and Sp3 negatively regulate and androgen does not directly regulate functional tumor suppressor 15-lipoxygenase 2 (15-LOX2) gene expression in normal human prostate epithelial cells. Oncogene 2004; 23:6942-53. [PMID: 15247906 DOI: 10.1038/sj.onc.1207913] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In this project, we studied the gene regulation of 15-lipoxygenase 2 (15-LOX2), the most abundant arachidonate-metabolizing LOX in adult human prostate and a negative cell-cycle regulator in normal human prostate (NHP) epithelial cells. Through detailed in silico promoter examination and promoter deletion and activity analysis, we found that several Sp1 sites (i.e., three GC boxes and one CACCC box) in the proximal promoter region play a critical role in regulating 15-LOX2 expression in NHP cells. Several pieces of evidence further suggest that the Sp1 and Sp3 proteins play a physiologically important role in positively and negatively regulating the 15-LOX2 gene expression, respectively. First, mutations in the GC boxes affected the 15-LOX2 promoter activity. Second, both Sp1 and Sp3 proteins were detected in the protein complexes that bound the GC boxes revealed by electrophoretic mobility shift assay. Third, importantly, inhibition of Sp1 activity or overexpression of Sp3 both inhibited the endogenous 15-LOX2 mRNA expression. Since 15-LOX2 is normally expressed in the prostate luminal epithelial cells, we subsequently explored whether androgen/androgen receptor may directly regulate its gene expression. The results indicate that androgen does not directly regulate 15-LOX2 gene expression. Together, these observations provide insight on how 15-LOX2 gene expression may be regulated in NHP cells.
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Affiliation(s)
- Shaohua Tang
- Department of Carcinogenesis, Science Park-Research Division, The University of Texas MD Anderson Cancer Center, 1808 Park Rd. 1C, Smithville, TX 78957, USA
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Bhatia B, Maldonado CJ, Tang S, Chandra D, Klein RD, Chopra D, Shappell SB, Yang P, Newman RA, Tang DG. Subcellular localization and tumor-suppressive functions of 15-lipoxygenase 2 (15-LOX2) and its splice variants. J Biol Chem 2003; 278:25091-100. [PMID: 12704195 DOI: 10.1074/jbc.m301920200] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
15-Lipoxygenase 2 (15-LOX2), the most abundant arachidonate (AA)-metabolizing enzyme expressed in adult human prostate, is a negative cell-cycle regulator in normal human prostate epithelial cells. Here we study the subcellular distribution of 15-LOX2 and report its tumor-suppressive functions. Immunocytochemistry and biochemical fractionation reveal that 15-LOX2 is expressed at multiple subcellular locations, including cytoplasm, cytoskeleton, cell-cell border, and nucleus. Surprisingly, the three splice variants of 15-LOX2 we previously cloned, i.e. 15-LOX2sv-a/b/c, are mostly excluded from the nucleus. A potential bi-partite nuclear localization signal (NLS),203RKGLWRSLNEMKRIFNFRR221, is identified in the N terminus of 15-LOX2, which is retained in all splice variants. Site-directed mutagenesis reveals that this putative NLS is only partially involved in the nuclear import of 15-LOX2. To elucidate the relationship between nuclear localization, enzymatic activity, and tumor suppressive functions, we established PCa cell clones stably expressing 15-LOX2 or 15-LOX2sv-b. The 15-LOX2 clones express 15-LOX2 in the nuclei and possess robust enzymatic activity, whereas 15-LOX2sv-b clones show neither nuclear protein localization nor AA-metabolizing activity. To our surprise, both 15-LOX2- and 15-LOX2sv-b-stable clones proliferate much slower in vitro when compared with control clones. More importantly, when orthotopically implanted in nude mouse prostate, both 15-LOX2 and 15-LOX2sv-b suppress PC3 tumor growth in vivo. Together, these results suggest that both 15-LOX2 and 15-LOX2sv-b suppress prostate tumor development, and the tumor-suppressive functions apparently do not necessarily depend on AA-metabolizing activity and nuclear localization.
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Affiliation(s)
- Bobby Bhatia
- Department of Carcinogenesis, the University of Texas M. D. Anderson Cancer Center, Science Park Research Division, Smithville 78957, USA
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Tang S, Bhatia B, Maldonado CJ, Yang P, Newman RA, Liu J, Chandra D, Traag J, Klein RD, Fischer SM, Chopra D, Shen J, Zhau HE, Chung LWK, Tang DG. Evidence that arachidonate 15-lipoxygenase 2 is a negative cell cycle regulator in normal prostate epithelial cells. J Biol Chem 2002; 277:16189-201. [PMID: 11839751 DOI: 10.1074/jbc.m111936200] [Citation(s) in RCA: 92] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
15-Lipoxygenase 2 (15-LOX2) is a recently cloned human lipoxygenase that shows tissue-restricted expression in prostate, lung, skin, and cornea. The protein level and enzymatic activity of 15-LOX2 have been shown to be down-regulated in prostate cancers compared with normal and benign prostate tissues. The biological function of 15-LOX2 and the role of loss of 15-LOX2 expression in prostate tumorigenesis, however, remain unknown. We report the cloning and functional characterization of 15-LOX2 and its three splice variants (termed 15-LOX2sv-a, 15-LOX2sv-b, and 15-LOX2sv-c) from primary prostate epithelial cells. Western blotting with multiple primary prostate cell strains and prostate cancer cell lines reveals that the expression of 15-LOX2 is lost in all prostate cancer cell lines, accompanied by decreased enzymatic activity revealed by liquid chromatography/tandem mass spectrometry analyses. Further experiments show that the loss of 15-LOX2 expression results from transcriptional repression caused by mechanism(s) other than promoter hypermethylation or histone deacetylation. Subsequent functional studies indicate the following: 1) the 15-LOX2 product, 15(S)-hydroxyeicosatetraenoic acid, inhibits prostate cancer cell cycle progression; 2) 15-LOX2 expression in primary prostate epithelial cells is inversely correlated with cell cycle; and 3) restoration of 15-LOX2 expression in prostate cancer cells partially inhibits cell cycle progression. Taken together, these results suggest that 15-LOX2 could be a suppressor of prostate cancer development, which functions by restricting cell cycle progression.
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Affiliation(s)
- Shaohua Tang
- Department of Carcinogenesis, the University of Texas MD Anderson Cancer Center, Science Park Research Division, Smithville, Texas 78957, USA
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Zonnevijlle ED, Somia NN, Abadia GP, Stremel RW, Maldonado CJ, Werker PM, Kon M, Barker JH. Sequential segmental neuromuscular stimulation reduces fatigue and improves perfusion in dynamic graciloplasty. Ann Plast Surg 2000; 45:292-7. [PMID: 10987532 DOI: 10.1097/00000637-200045030-00012] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Dynamic graciloplasty is used as a treatment modality for total urinary incontinence caused by a paralyzed sphincter. A problem with this application is undesirable fatigue of the muscle caused by continuous electrical stimulation. Therefore, the neosphincter must be trained via a rigorous regimen to transform it from a fatigue-prone state to a fatigue-resistant state. To avoid or shorten this training period, the application of sequential segmental neuromuscular stimulation (SSNS) was examined. This form of stimulation proved previously to be highly effective in acutely reducing fatigue caused by electrical stimulation. The contractile function and perfusion of gracilis muscles employed as neosphincters were compared between conventional, single-channel, continuous stimulation, and multichannel sequential stimulation in 8 dogs. The sequentially stimulated neosphincter proved to have an endurance 2.9 times longer (as measured by halftime to fatigue) than continuous stimulation and a better blood perfusion during stimulation (both of which were significant changes, p < 0.05). Clinically, this will not antiquate training of the muscle, but SSNS could reduce the need for long and rigorous training protocols, making dynamic graciloplasty more attractive as a method of treating urinary or fecal incontinence.
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Affiliation(s)
- E D Zonnevijlle
- Department of Surgery, School of Medicine, University of Louisville, KY 40292, USA
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Zonnevijlle ED, Somia NN, Stremel RW, Maldonado CJ, Werker PM, Kon M, Barker JH. Sequential segmental neuromuscular stimulation: an effective approach to enhance fatigue resistance. Plast Reconstr Surg 2000; 105:667-73. [PMID: 10697175 DOI: 10.1097/00006534-200002000-00028] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Electrical stimulation of skeletal muscle flaps is used clinically in applications that require contraction of muscle and force generation at the recipient site, for example, to assist a failing myocardium (cardiomyoplasty) or to reestablish urinary or fecal continence as a neo-sphincter (dynamic graciloplasty). A major problem in these applications (muscle fatigue) results from the nonphysiologic manner in which most of the fibers within the muscle are recruited in a single burst-like contraction. To circumvent this problem, current protocols call for the muscle to be put through a rigorous training regimen to transform it from a fatigue-prone to a fatigue-resistant state. This process takes several weeks during which, aside from becoming fatigue-resistant, the muscle loses power and contraction speed. This study tested the feasibility of electrically stimulating a muscle flap in a more physiologic way; namely, by stimulating different anatomical parts of the muscle sequentially rather than the entire muscle all at once. Sequential segmental neuromuscular stimulation (SSNS) allows parts of the muscle to rest while other parts are contracting. In a paired designed study in dogs (n = 7), the effects of SSNS on muscle fatigability and muscle blood perfusion in gracilis muscles were compared with conventional stimulation: SSNS on one side and whole muscle stimulation on the other. In SSNS, electrodes were implanted in the muscles in such a way that four separate segments of each muscle could be stimulated separately. Then, each segment was stimulated so that part of the muscle was always contracted while part was always resting. This type of stimulation permitted sequential yet continuous force generation. Muscles in both groups maintained an equal amount of continuous force. In SSNS muscles, separate segments were stimulated so that the duty cycle for any one segment was 25, 50, 75, or 100 percent, thus varying the amount of work and rest that any segment experienced at any one time. With duty cycles of 25, 50, and 75 percent, SSNS produced significantly (p < 0.01) enhanced resistance to fatigue. In addition, muscle perfusion was significantly (p < 0.01) increased in these sequentially stimulated muscles compared with the controls receiving whole muscle stimulation. It was concluded that SSNS reduces muscle fatigue and enhances muscle blood flow during stimulation. These findings suggest that using SSNS in clinical myoplasty procedures could obviate the need for prolonged training protocols and minimize problems associated with muscle training.
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Affiliation(s)
- E D Zonnevijlle
- Department of Surgery, School of Medicine, University of Louisville, KY, USA
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Zonnevijlle ED, Somia NN, Perez Abadia G, Stremel RW, Maldonado CJ, Werker PM, Kon M, Barker JH. Three parameters optimizing closed-loop control in sequential segmental neuromuscular stimulation. Artif Organs 1999; 23:388-91. [PMID: 10378925 DOI: 10.1046/j.1525-1594.1999.06356.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
In conventional dynamic myoplasties, the force generation is poorly controlled. This causes unnecessary fatigue of the transposed/transplanted electrically stimulated muscles and causes damage to the involved tissues. We introduced sequential segmental neuromuscular stimulation (SSNS) to reduce muscle fatigue by allowing part of the muscle to rest periodically while the other parts work. Despite this improvement, we hypothesize that fatigue could be further reduced in some applications of dynamic myoplasty if the muscles were made to contract according to need. The first necessary step is to gain appropriate control over the contractile activity of the dynamic myoplasty. Therefore, closed-loop control was tested on a sequentially stimulated neosphincter to strive for the best possible control over the amount of generated pressure. A selection of parameters was validated for optimizing control. We concluded that the frequency of corrections, the threshold for corrections, and the transition time are meaningful parameters in the controlling algorithm of the closed-loop control in a sequentially stimulated myoplasty.
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Affiliation(s)
- E D Zonnevijlle
- Department of Surgery, School of Medicine, University of Louisville, Kentucky, USA
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Abstract
Angiogenesis, the formation of new blood vessels from preexisting ones, is a fundamental stage in the metastatic pathway. For the primary tumor, this neovascularization provides nutrients and oxygen as well as a route by which metastatic tumor cells gain access to the circulatory system. Among these metastatic tumor cells, there are subgroups of cells that express an angiogenesis-inducing cells phenotype (AICs) as well as others that do not. Tumor cells not expressing the angiogenesis-inducing cells phenotype (non-AICs) invade new tissues and remain as dormant micrometastases unless they accompany AICs. Thus, either alone or with non-AICs, angiogenesis-inducing cells form rapidly growing, clinically detectable metastases. Much of the current research in this area is concentrated on the vascularization of primary tumors, but the regulation of angiogenesis by extravasating or invading tumor cells has not being extensively studied. We have developed a working model, which demonstrates that human metastatic prostate cancer cells (PC-3) appear to induce human vascular endothelial cells (HUVECs) to translocate across a Matrigel-coated 8 mm membrane. The parameters of this model (i.e. pore size, seeding-cell density, seeding times) were established using highly invasive murine melanoma cells (B16F10) seeded on murine microvascular endothelial cells (CD3). We have further modified our model in order to include a host compartment made of collagen gel, in order to mimic the in vivo site of metastases-induced angiogenesis.
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Affiliation(s)
- C J Maldonado
- Wayne State University, Biological Sciences Department, Detroit, USA
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